G. Trombi

This paper proposes and tests a calibration protocol for crop phenology models, reducing prediction error and team variability by 22%.

This study evaluates wheat phenology prediction models in Australia, finding that multi-model averaging performs nearly as well as the best single model, with an average error of 9 days.

This study evaluates how well 27 crop modeling groups predict wheat phenology in Northern France using calibration data from the same target population, finding mean absolute errors comparable to measurement error.